DEWMA Control Chart for the Coefficient of Variation

Abstract:

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When the production run is short and process parameters change frequently, it is difficult to monitor the process using traditional control charts. In such a case, the coefficient of variation (CV) is very useful for monitoring the process variability. The CV control chart, however, is not sensitive at small shift in the magnitude of CV. The CV-EWMA (exponentially weighted moving average) control chart which was developed recently is effective in detecting a small shifts of CV. In this paper, we propose the CV-DEWMA control chart, combining the DEWMA (double exponentially weighted moving average) technique. We show that CV-DEWMA control chart perform better than CV-EWMA control chart in detecting small shifts when sample size n is larger than 5.

Info:

Periodical:

Advanced Materials Research (Volumes 201-203)

Edited by:

Daoguo Yang, Tianlong Gu, Huaiying Zhou, Jianmin Zeng and Zhengyi Jiang

Pages:

1682-1688

DOI:

10.4028/www.scientific.net/AMR.201-203.1682

Citation:

E. P. Hong et al., "DEWMA Control Chart for the Coefficient of Variation", Advanced Materials Research, Vols. 201-203, pp. 1682-1688, 2011

Online since:

February 2011

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Price:

$35.00

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